Harrisen Scells

24 papers and 237 indexed citations i.

About

Harrisen Scells is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Harrisen Scells has authored 24 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Molecular Biology. Recurrent topics in Harrisen Scells’s work include Topic Modeling (9 papers), Biomedical Text Mining and Ontologies (7 papers) and Information Retrieval and Search Behavior (6 papers). Harrisen Scells is often cited by papers focused on Topic Modeling (9 papers), Biomedical Text Mining and Ontologies (7 papers) and Information Retrieval and Search Behavior (6 papers). Harrisen Scells collaborates with scholars based in Australia, Germany and United Kingdom. Harrisen Scells's co-authors include Guido Zuccon, Bevan Koopman, Shuai Wang, Leif Azzopardi, Shengyao Zhuang, Shlomo Geva, Wen Hua, Justin Clark, Bing Liu and Hang Li and has published in prestigious journals such as Information Retrieval, Intelligent Systems with Applications and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Harrisen Scells i

Fields of papers citing papers by Harrisen Scells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harrisen Scells. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Harrisen Scells. The network helps show where Harrisen Scells may publish in the future.

Countries citing papers authored by Harrisen Scells

Since Specialization
Citations

This map shows the geographic impact of Harrisen Scells's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Harrisen Scells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harrisen Scells more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025